Street Tim J
Diabettech Ltd, London, UK.
Diabetes Ther. 2021 Jul;12(7):1839-1848. doi: 10.1007/s13300-021-01071-5. Epub 2021 May 28.
This study investigates the use of do-it-yourself artificial pancreas systems (DIYAPS) in the UK, and whether self-reported outcomes associated with them are affected by the demographics of the user.
An online survey was conducted to assess user demographic data and self-reported time-in-range (TIR) outcomes. Statistical analysis was undertaken to review the results and check whether there were major differences in change in TIR across age, gender and duration of diabetes.
Of 253 valid responses to the survey across a wide age range of users, 74.4% related to adult users and 25.6% related to under-16s. The majority (65.6%) used AndroidAPS, but there was greater use of Loop (43.1%) amongst under-16s than amongst adults (25.9%). Correspondingly, more under-16s (40.0%) than adults (24.3%) used Omnipod Eros. A 17.3% (± 13.7%) increase in time in range was reported across all participants, with no significant differences observed between age groups, genders or diabetes duration groups (p > 0.05).
The results show that these systems are being used by both genders, and that users cover a wide range of ages and diabetes durations. They also show that improvements in self-reported DIYAPS healthcare outcomes may not be specific to any particular age, gender or duration of diabetes, and the results may provide additional insights into the applicability of the algorithms by demographic. This study may also inform healthcare professionals about the use and effectiveness of DIYAPS solutions.
本研究调查了英国的自制人工胰腺系统(DIYAPS)的使用情况,以及与这些系统相关的自我报告结果是否受用户人口统计学特征的影响。
开展了一项在线调查,以评估用户人口统计学数据和自我报告的血糖达标时间(TIR)结果。进行了统计分析以审查结果,并检查不同年龄、性别和糖尿病病程的TIR变化是否存在重大差异。
在广泛年龄范围内的用户对该调查的253份有效回复中,74.4%与成年用户相关,25.6%与16岁以下儿童相关。大多数(65.6%)使用AndroidAPS,但16岁以下儿童中使用Loop(43.1%)的比例高于成年人(25.9%)。相应地,使用Omnipod Eros的16岁以下儿童(40.0%)多于成年人(24.3%)。所有参与者报告的血糖达标时间增加了17.3%(±13.7%),各年龄组、性别或糖尿病病程组之间未观察到显著差异(p>0.05)。
结果表明,这些系统在男女中均有使用,用户涵盖广泛的年龄和糖尿病病程。结果还表明,自我报告的DIYAPS医疗保健结果的改善可能并非特定于任何特定年龄、性别或糖尿病病程,这些结果可能会提供关于算法按人口统计学适用性的更多见解。本研究还可以让医疗保健专业人员了解DIYAPS解决方案的使用情况和有效性。